Data Applications Developer

hace 4 semanas

Guadalajara, Jalisco, México Finastra A tiempo completo

Data Applications Developer

We are seeking a talented Data Applications Developer to join our team focused on building innovative, data-driven solutions within our product ecosystem. This role will be central to ensuring that the outputs from data science, engineering, and analytics are effectively utilized and accessible to end-users through our front-end and back-end systems. The ideal candidate will have a deep understanding of integrating data products into applications, translating complex insights into intuitive, impactful features for our customers.

Key Responsibilities:

  • Develop and Integrate Data-Driven Features: Collaborate with data scientists, engineers, and product owners to translate insights and machine learning models into front-end and back-end features. This includes developing user interfaces, APIs, and services that deliver data-powered functionalities seamlessly.
  • UI/UX Enhancement: Work closely with UI/UX designers to design and build intuitive dashboards, visualization tools, and user-centric applications that offer insights and drive value for loan officers and borrowers.
  • Automation and Intelligence: Build automated workflows and intelligent system components such as pre-filled forms, smart recommendations, and dynamic user prompts.
  • Quality Assurance and Optimization: Ensure the quality, reliability, and performance of integrated features through thorough testing, debugging, and continuous improvement.
  • Collaboration: Partner with cross-functional teams, including product management, data engineers, architects, and line-of-business teams to deliver solutions that align with business needs and improve the borrower experience.

Required Skills and Experience:
  • API Integration: Experience designing, developing, and integrating RESTful APIs to facilitate data interaction and feature delivery.
  • Database and Data Modeling: Working knowledge of relational and NoSQL databases (e.g., SQL Server, MongoDB), with the ability to design efficient data models that facilitate real-time data interaction and insights.
  • Cloud and DevOps Expertise: Familiarity with cloud platforms like Microsoft Azure or AWS and working knowledge of DevOps principles, including CI/CD and automated testing.
  • Data Visualization Skills: Experience developing interactive and dynamic dashboards using visualization tools such as Power BI or Tableau.
  • Agile Collaboration: Strong understanding of Agile methodologies and experience working within a fast-paced, iterative development environment.

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